Stereology Resource Center
  • Saint Petersburg, FL
  • United States
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Stereology Resource Center's Page

Profile Information

Main areas of research:
Alzheimer's Disease, Parkinson's Disease
Stereology, Stereologer, Neurostereology, Optical Disector
PhD Advisor and University:
Peter R. Mouton, Ph.D. at University of South Florida Tampa
Personal or laboratory homepage:

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Stereology Resource Center's Blog

Histone deacetylase 6 inhibition improves memory and reduces total tau levels in a mouse model of tau deposition.

Posted on July 28, 2014 at 12:00pm 0 Comments

A new Stereologer study has been published from the laboratory of Dr. David Morgan at the Byrd Alzheimer’s Disease Center and Research Institute in Tampa, FL (Selenica et al., Histone deacetylase 6 inhibition improves memory and reduces total tau levels in a mouse model of tau deposition. Alzheimers Res Ther. 6:12, 2014).

Findings: This study supports the use of HDAC6 inhibitors as…


Innovative research using the Stereologer system:

Posted on June 23, 2014 at 11:53am 0 Comments

The SRC congratulates Pamela Knapp Ph.D. from Virginia Commonwealth University for her NIH grant award, “Glial Progenitors as Targets of HIV/Opiate Interactions.”

Dr. Knapp’s work focuses on HIV-associated neurocognitive disorders (HANDs). These studies propose to use both HIV protein and infective HIV-human cell models of the disease to…


Hedgehog agonist therapy corrects structural and cognitive deficits in a Down syndrome mouse model.

Posted on June 2, 2014 at 12:08pm 0 Comments

An important study using the Stereologer system from the laboratory of Dr. Roger Reeves at the Johns Hopkins University School of Medicine, Baltimore, MD.

Click the link below for more study information.

Do Unbiased Methods Guarantee Accurate Results?

Posted on April 22, 2014 at 11:40am 0 Comments

Unfortunately, the answer is no. Although the use of unbiased methods is a necessary and important prerequisite, a number of avoidable non-stereological factors may also introduce error into results. Here are a few most common non-stereological sources that can skew data from their expected values:

Recognition error arises when objects of interest cannot be unambiguously identified. For instance, certain diseases cause cells to acquire a different appearance compared to their…


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